James Wickett’s Post

Holy cow! What a list of heavy hitters on the Techstrong Learning Virtual Summit today! Folks like Chris Hughes and Sounil Yu have talks that intersect AI, Security, and DevOps! I may have a little talk in there as well 😁 #DevSecOpsConnectVirtual #AI #Pedigree #Provenance #Saftey #Security #DevOps #MLOps Techstrong Group Techstrong.ai

Live view of our DevOps, AI, & Beyond monthly book club and pick this month - "Introduction to LLMs for Business Leaders: Responsible AI Strategy Beyond Fear and Hype." Some great insights from conversation: - How can quality engineers act as experts between business leaders seeking to adopt AI solutions and also acting as quality coaches for veracity of LLM outputs, security vulnerabilities, and creating better software quality? Great post from Jesper Ottosen https://lnkd.in/g7P22A26 - What are the AI skills needed for testers today to succeed in a competitive job market? Shoutout to Ministry of Testing - Software Testing, QA & Quality Engineering Community and this thread: https://lnkd.in/g8tEbYiZ - The classic tale of build vs. buy for companies seeking to build their own LLMs and how will open source continue to advance innovation (Meta's Llama vs. OpenAI)? -How can devs & QA leverage AI solutions like CodeWhisperer to continue to break down silos and align one-team approach to quality? - Will we see a new sense of urgency in creating Centers of Excellence to help safely adopt these solutions? - With the increased energy needed to support data storage expected to double by 2026, how are companies emphasizing an eco-sustainable model in AI use? Shoutout to Niranjani M., Lisa Crispin, Jesper Ottosen for another great discussion and looking forward to seeing our small group club for our next discussion. All are welcome: https://lnkd.in/diu6tCsm #DevOps #AI #SoftwareQuality #LLM #Security #TestAutomation #QA #Dev #OpenSource #ContinuousReading #CenterofExcellence

DevOps is essential for modern businesses. Umee Soft helps you bridge the gap between development and operations, leading to faster releases and happier teams. 1. DevSecOps: Security as a Core Component 2. AI and Machine Learning in DevOps (AIOps) 3. Platform Engineering #devsecops #security #ai #machinelearning #enginneering

Roman Spitzbart from Dynatrace looks at the five trends that are set to change the DevOps and Security scene in 2024. Roman looks at 5 trends backed by research from McKinsey & Company which include: - How AI investments are skyrocketing - Why GenAI will be a force multiplier for DevOps and security - How AI will help organisations manage multi-cloud complexity - The guardrails businesses will need to implement to protect themselves against AI - Composite AI emerging as a key to success You can read the article now: https://lnkd.in/eEdUXMsm

For every engineer using AI to help them write code, do DevOps, etc... There is a black hat engineer using the same AI asking how to break into coded systems, insecure DevOps, etc. As you consider AI for your uses, are you sure the AI isn't accidentally putting in bugs that the AI is also accidentally trained to exploit?

Traditionally, AI development existed in a silo, separate from the established practices of software development. This often led to delays, communication gaps, and inefficiencies. MLOps and GENAI pipelines revolutionize this process by creating a seamless marriage between AI and DevOps. While MLOps and GENAI offer numerous advantages, they also introduce unique security challenges. Understanding these risks is paramount for implementing effective security measures. Please read my article published by CIOL ... #MLOps #DevOps #DevSecOps #AIML #GenAI #AISec #inforsec #technology

Thank you Rajesh Dangi for sharing your insights on the integration of AI and DevOps. #MLOps #DevOps #DataScience.

"Probably the #1 challenge developers face today, in general, is the underlying minutiae of writing code & ensuring there are not fatal quality issues — and not discovering issues for the first time in production." Armory CEO Jim Douglas shares his insights on deployment challenges, AI, and cybersecurity in this interview with The Safety Detectives. Read more 👇 https://bit.ly/3PDGh9W #ContinuousDeployment #DevOps #AI

In this article from InfoWorld, Isaac Sacolick breaks down the skills #DevSecOps teams need to adapt with #GenerativeAI, featuring insights from Pryon Founder & CEO, Igor Jablokov. “AI has ushered in a whole new era of efficiency, but tools like Copilot produce massive amounts of code which are not always accurate ... Both the devops stack and cybersecurity industry will have to catch up in spotting generative code to ensure no copyright issues and defects are being introduced into the enterprise,” says Igor. Read the full article: https://lnkd.in/e4kARbV4 #JustKnowNow #ArtificialIntelligence #AI #DevOps #GAI #KnowledgeManagement #FutureOfWork #IntelligenceEconomy 

Top MLOps Tools Guide: Weights & Biases, Comet and More - Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. As the adoption of machine learning in various industries continues to grow, the demand for robust MLOps tools has also increased. These tools help streamline the entire lifecycle of machine learning projects, from data preparation and model training to deployment and monitoring. In this comprehensive guide, we […] - https://lnkd.in/eEbzE5Rf